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Historical informatics
Reference:

Multidimensional Fuzzy Classification in Historical and Typological Studies: Development and Test of a New Software

Garskova Irina Markovna

PhD in History

Assistant professor, Lomonosov Moscow State University

31-253, ul. Ramenki, g. Moscow, Russia, 119607

irina.garskova@gmail.com
ƒругие публикации этого автора
 

 
Zueva Veronika Andreevna

Engineer - virus analyst, "Doctor Web" LLC

119192, Russia, Moscow oblast', g. Moscow, ul. Lomonosovskii Prospekt, 27k4, of. E253

bakerst221b.uk@gmail.com

DOI:

10.7256/2585-7797.2018.2.26871

Review date:

17-07-2018


Publish date:

02-08-2018


Abstract.

The current study develops a new version of the multidimensional fuzzy classification program for Windows on the basis of FuzzyClass algorithm created by the Department of Historical Information Science of Moscow State University. The previous version of the program (FuzzyClass1) was created over 30 years ago and is still widely used in historical and typological studies because fuzzy classification methods are not yet available in most standard statistical packages. The need for a new version of the program is caused by the fact that FuzzyClass1 was a DOS program and can hardly be adjusted to Windows, Mac, etc. Moreover, there is a need to make it more simple, friendly, accessible to a wide range of students and researchers. The new program was created by means of the VBA (VisualBasicforApplications) for MS Excel. The program is tested and evaluated on the basis of Russian economic history statistical sources earlier addressed to by Russian scholars. The adjustment has demonstrated similar results to previous studies which considered cadastres (pistsovye knigi) of Vorotynskiy Uezd in the 17th century. The authors have also compared the results of the new program with the results gained when typology of the European Russia guberniyas at the turn of the 19th and 20th centuries was carried out with the use of fuzzy classification algorithms. The comparison has demonstrated qualitatively similar results and more precise typology through FuzzyClass algorithms. Thus, the program created confirms previous results and provides new opportunities for typological research in history.

Keywords: computer program, algorith, agrarian tipology, historical typological research, fuzzy set theory, cluster analysis, fuzzy multidimentional classification, flowchart, economic history, statistical sources
This article written in Russian. You can find full text of article in Russian here .

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